2024-06-30
Installation of R and R Studio
Introduction to R and R Studio.
Data Import and Export
Data summary (Simple Descriptive analysis)
Data wrangling
Design of Experiment
Analysis of Variance (CRD, RCBD, Split Plot e.t.c.)
Post Hoc Test
Data Visualization
By the end of this training, you should feel confident approaching data from the agricultural sector using R
We will cover virtually no statistics
However it is the intention that this training will leave you comfortable to:
understand/solve statistical problems using R
interpret results generated by R
Option 1: Download the zip file directly from github and then unzip it
Option 2: Run the following command below in RStudio console pane:
A widely used programming language for data analysis
Based on statistical programming language S (1976)
Developed by Ross Ihaka & Robert Gentleman (1995)
Very active community, with many packages
Open source!
R is free, so you don’t need a terminal server
R has a very large community.
R can handle virtually any data format.
Analyses done using R are reproducible
Using R makes collaboration easier.
Finding answers to questions is much simpler in R
Integrated Development Environment (IDE) for R that can make your life easier.
Founded by J.J. Allaire, available since 2010
Organize your code, output, and plots.
Auto-complete code and highlight syntax.
Help view data and objects.
Enable easy integration of R code into documents with quarto and R Markdown
(https://www.tidyverse.org/)
(https://cran.r-project.org/web/packages/skimr/vignettes/Using_skimr.html)
(https://twitter.com/search?q=%23rstats)
(https://twitter.com/ekaleedmiston/status/1081221822186696706)